Kafka architektūra susideda iš brokerių klasterio (serverių), kurie saugo padalintus, replikuotus topiką, su gamintojais (producers) rašančiais ir vartotojais (consumers) skaitančiais, kuriamiems koordinuoti metaduomenų valdymas (istoriškai ZooKeeper, dabar KRaft). Architektūros supratimas išaiškina, kaip Kafka veikia kaip paskirstyta sistema.
Komponentai
BROKERS → Kafka SERVERS forming a CLUSTER:
→ store topic partitions (the data); serve producers and consumers
→ a cluster of multiple brokers → distributes data and load; scales horizontally
TOPICS / PARTITIONS → topics split into partitions, distributed across brokers
PRODUCERS → write events to topics (to partition leaders)
CONSUMERS (in groups) → read events from partitions
COORDINATION → metadata, cluster state, leader election:
→ historically ZOOKEEPER; now KRAFT (Kafka's own built-in consensus, removing ZooKeeper)
